Data Virtualization Cloud Market By Component, Data Consumer, Deployment Model, End-use Industry & Region | Forecast 2023 to 2033
Data Virtualization Cloud Services Coming on Strong with Growing Business of Service Based Industries. FMI Checks over their Potential in 30+ Economies
Data Virtualization Cloud Market Introduction
The data virtualization cloud market is capturing a valuation of US$ 1,139 million in 2023 and is predicted to reach US$ 10,778.7 million by 2033. The market is registering a CAGR of 25.2% during the forecast period.
Business resilience and cost optimization have emerged as key influencers of IT investment decisions and virtualized data center architecture in the cloud. Especially, Infrastructure as a service (IaaS) is developed by hybrid data virtualization cloud to enable both.
AI and ML in Data Virtualization Cloud - An Emerging Trend in Data Center Virtualization Cloud Market
Artificial intelligence (AI) will transform the way businesses operate as well as the way people work, which will help to liberate creativity and potential. In addition, AI and machine learning (ML) will increase labor efficiency, and make chatbots smarter and marketing wiser.
However, applying AI to data preparation in data virtualization is still in its early days and is tougher than applying it in more generalized use cases, as training data sets are more restricted. As such, more extensive application of ML to data virtualization in cloud computing is anticipated to emerge in the coming days.
Attributes
Details
Data Virtualization Cloud Market Share (2022)
US$ 913.5 million
Data Virtualization Cloud Market Size Value (2023)
US$ 1,139 million
Data Virtualization Cloud Market Size Value (2033)
US$ 10,778.7 million
Data Virtualization Cloud Market Growth Rate (2023 to 2033)
25.2%
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Global Data Virtualization Cloud Market Historical Analysis (2018 to 2022) Vs. Forecast Outlook (2023 to 2033)
As per the earlier reports of FMI, the total valuation of total data virtualization cloud services adopted in the year 2015 was US$ 210.5 million. During the following years, from 2015 to 2022, the market registered a CAGR of 22.8% finally culminating at US$ 913.5 million.
The pandemic spurred the adoption of cloud solutions with both digital service providers and conventional IT organizations rendering the market a higher CAGR in the post-pandemic period.
Category-wise Insights
Standalone software Data Virtualization Cloud Market Segment Generates More than Half of the Global Revenue
Market Segments by Component
Standalone Software
Value in 2023
US$ 569.4 million
CAGR (2023 to 2033)
22.7%
Market Segments by Component
Data Integration Tools
Value in 2023
US$ 381.4 million
CAGR (2023 to 2033)
25.9%
Market Segments by Component
Application Tool Solution
Value in 2023
US$ 188.2 million
CAGR (2023 to 2033)
30.5%
Standalone software is integral for companies having a strong focus on all specific domains such as HR, or finance. These solutions help leverage every core and more advanced functionality that all domains require making it the leading segment based on component. Furthermore, the standalone data virtualization cloud market segment is preferred more for staving off the fear of getting lost in additional unnecessary data from other departments.
Business Intelligence Services by Data Virtualization is Evolving the Market
Market Segments by Data Consumer
Business Intelligence Tools
Value in 2023
US$ 576.5 million
CAGR (2023 to 2033)
24.1%
Market Segments by Data Consumer
Enterprise Allocation
Value in 2023
US$ 262.2 million
CAGR (2023 to 2033)
31.8%
Market Segments by Data Consumer
Mobile and Web Applications
Value in 2023
US$ 300.2 million
CAGR (2023 to 2033)
20.6%
With various tech giants and start-ups bringing up business intelligence (BI) tools, BI continues to march into every industry going from ‘nice-to-have’ to ‘absolute-must-have’. A key benefit of data virtualization cloud solutions in BI tools is streamlining of existing business ecosystems.
Shifting to Public Cloud Models offers Enterprises a Way to cut down IT operations Expenses.
Market Segments by Deployment model
Public Cloud Data Virtualization
Value in 2023
US$ 600.1 million
CAGR (2023 to 2033)
22.1%
Market Segments by Deployment model
Hybrid Cloud Data Virtualization
Value in 2023
US$ 237.1 million
CAGR (2023 to 2033)
25.8%
Market Segments by Deployment model
Private Cloud Data Virtualization
Value in 2023
US$ 174.9 million
CAGR (2023 to 2033)
28.8%
Market Segments by Deployment model
Multi-cloud Data Virtualization
Value in 2023
US$ 126.9 million
CAGR (2023 to 2033)
31.9%
Among various deployment models, public data virtualization cloud solutions continue to define stakeholders’ bottom lines. According to a survey, 31% of enterprises depend on the public cloud, as relatively cost-effective compared to private and hybrid models.
Subsequently, several small and medium-sized businesses are leveraging public cloud services to outsource certain aspects of cyber security to larger providers with better resources.
Despite carrying the benefit of application portability, the majority of multi-cloud deployment models are highly focused on acquirement, risk mitigation, and functionality compared to portability.
Banking, Financial Services & Insurance Companies Remain the Key End-User for the Market
Market Segments by End-use Industry
BFSI
Value in 2023
US$ 336 million
CAGR (2023 to 2033)
22.9%
Market Segments by End-use Industry
IT & Telecom
Value in 2023
US$ 241.2 million
CAGR (2023 to 2033)
19.9%
Market Segments by End-use Industry
Retail & e-Commerce
Value in 2023
US$ 123.1 million
CAGR (2023 to 2033)
32.6%
Market Segments by End-use Industry
Government and Defence
Value in 2023
US$ 149.4 million
CAGR (2023 to 2033)
26.1%
Market Segments by End-use Industry
Healthcare
Value in 2023
US$ 151 million
CAGR (2023 to 2033)
30.6%
Market Segments by End-use Industry
Manufacturing
Value in 2023
US$ 89.6 million
CAGR (2023 to 2033)
27.7%
Market Segments by End-use Industry
Other End-users
Value in 2023
US$ 48.7 million
CAGR (2023 to 2033)
17.6%
Cloud innovation is rapidly becoming a core driver in worldwide digital disruption and is increasingly gaining more persuasiveness with the BFSI industry.
As financial service customers move from on-premise to cloud ecosystems, costs shift from capital expenses (CAPEX) to operational expenses (OPEX) is a general trend. As per a study, moving back-office operations to cloud-based solutions enables financial institutions to attain savings of about 30-40%.
Find your sweet spots for generating winning opportunities in this market.
Country-wise Insights
United States based Data Virtualization Cloud Service Giants to Set the Global Trends
North America currently spearheads global data virtualization in the cloud computing market. Over half of the revenue of leading IaaS public cloud services providers such as Microsoft Corporation, and Google LLC comes from the United States.
Regional Markets in America
United States
Market Value (2023)
US$ 330.4 million
CAGR (2023 to 2033)
20.9%
Regional Markets in America
Canada
Market Value (2023)
US$ 73.7 million
CAGR (2023 to 2033)
24.4%
Regional Markets in America
Brazil
Market Value (2023)
US$ 25 million
CAGR (2023 to 2033)
26.5%
Regional Markets in America
Mexico
Market Value (2023)
US$ 18.8 million
CAGR (2023 to 2033)
29.5%
Regional Markets in America
Rest of Latin America
Market Value (2023)
US$ 8.5 million
CAGR (2023 to 2033)
19.4%
Regional Markets in America
North America
Market Value (2023)
US$ 404.1 million
CAGR (2023 to 2033)
21.6%
Regional Markets in America
Latin America
Market Value (2023)
US$ 52.3 million
CAGR (2023 to 2033)
26.5%
Such broad factors are projected to drive the data virtualization cloud market in North America. FMI further underlines that the market in the United States is generating revenues nearly 5X compared to that of Canada.
Regulatory Framework for Data Virtualization Cloud Services are Forecasted to Tighten in European Countries
Regional Markets in Europe
Germany
Market Value (2023)
US$ 120.4 million
CAGR (2023 to 2033)
19.7%
Regional Markets in Europe
France
Market Value (2023)
US$ 37.7 million
CAGR (2023 to 2033)
22.3%
Regional Markets in Europe
Italy
Market Value (2023)
US$ 14.5 million
CAGR (2023 to 2033)
24.9%
Regional Markets in Europe
Spain
Market Value (2023)
US$ 10.8 million
CAGR (2023 to 2033)
26.7%
Regional Markets in Europe
United Kingdom
Market Value (2023)
US$ 41.6 million
CAGR (2023 to 2033)
29.7%
Regional Markets in Europe
Benelux
Market Value (2023)
US$ 20.5 million
CAGR (2023 to 2033)
18.4%
Regional Markets in Europe
Russia
Market Value (2023)
US$ 26.1 million
CAGR (2023 to 2033)
22.1%
Regional Markets in Europe
Rest of Europe
Market Value (2023)
US$ 4.7 million
CAGR (2023 to 2033)
15.5%
Regional Markets in Europe
Europe
Market Value (2023)
US$ 276.4 million
CAGR (2023 to 2033)
22.4%
Driven by government regulations, 80% of businesses in the United Kingdom are required to back up their data for a certain period of time. Some European Union (EU) initiatives such as GAIA-X and GDPR, along with the 'cloud tax' in France, are offering huge impetus for European enterprises to store data locally.
Such trends are also likely to propel the adoption of data virtualization cloud solutions in Germany, which holds about 45% of regional market revenue. Apart from Germany, France, and the United Kingdom capture double-digit revenue share in the global market.
Strategic Initiatives by Asian Businesses to Heighten the Demand for Data Virtualization
With technologies contributing significantly to strategic initiatives driving enterprise innovation in the Asia Pacific region, it is emerging as a key market in recent years. Furthermore, with cost-effective synergies among businesses, public cloud services could be key revenue generators of data virtualization cloud market in East Asia.
Regional Markets in Asia Pacific
China
Market Value (2023
US$ 147.6 million
CAGR (2023 to 2033)
29.9%
Regional Markets in Asia Pacific
Japan
Market Value (2023
US$ 50.6 million
CAGR (2023 to 2033)
27%
Regional Markets in Asia Pacific
South Korea
Market Value (2023
US$ 37.4 million
CAGR (2023 to 2033)
23.8%
Regional Markets in Asia Pacific
India
Market Value (2023
US$ 49.6 million
CAGR (2023 to 2033)
37.5%
Regional Markets in Asia Pacific
Thailand
Market Value (2023
US$ 14.2 million
CAGR (2023 to 2033)
33.3%
Regional Markets in Asia Pacific
Malaysia
Market Value (2023
US$ 9.3 million
CAGR (2023 to 2033)
29%
Regional Markets in Asia Pacific
Indonesia
Market Value (2023
US$ 17.2 million
CAGR (2023 to 2033)
26.3%
Regional Markets in Asia Pacific
Australia & New Zealand
Market Value (2023
US$ 26.2 million
CAGR (2023 to 2033)
30.6%
Regional Markets in Asia Pacific
Rest of South Asia & Pacific
Market Value (2023
US$ 13.5 million
CAGR (2023 to 2033)
22.6%
Regional Markets in Asia Pacific
East Asia
Market Value (2023
US$ 235.6 million
CAGR (2023 to 2033)
28.4%
Regional Markets in Asia Pacific
South Asia & Pacific
Market Value (2023
US$ 130 million
CAGR (2023 to 2033)
32.3%
While China remains a key market, Japan and South Korea collectively account for nearly 40% share. Interestingly, India is the up-and-coming market with a higher demand for data virtualization cloud services owing to its budding services sector.
Middle East & African Countries to Garner Higher Traction by Overseas Market Players
Regional Markets in MEA
GCC Countries
Market Value (2022)
US$ 15.6 million
CAGR (2023 to 2033)
29%
Regional Markets in MEA
Türkiye
Market Value (2022)
US$ 14.5 million
CAGR (2023 to 2033)
31.7%
Regional Markets in MEA
South Africa
Market Value (2022)
US$ 6.3 million
CAGR (2023 to 2033)
35.4%
Regional Markets in MEA
Rest of MEA
Market Value (2022)
US$ 4.3 million
CAGR (2023 to 2033)
24.5%
Regional Markets in MEA
Middle East & Africa (MEA)
Market Value (2022)
US$ 40.6 million
CAGR (2023 to 2033)
30.6%
In a similar vein, with North America and Europe, the market is anticipated to see explosive growth in MEA, despite lagging in terms of revenue. The hybrid data virtualization cloud market in the Middle East & African countries is expected to be driven majorly by small- and medium-sized enterprises.
Data Center Virtualization Cloud Market Companies and Competitive Intelligence
With the colossal volume of data generated every day, organizations are turning to standalone software data virtualization cloud market and solutions nowadays. As such, in order to reach a larger customer base, service providers are equipping data virtualization cloud solutions with distinct features that effectively serve end-user needs. Some of the remarkable advancements in this context include
IBM Corporation has made advancements in the new version of Cloud Pak for Data Virtualization. The updated versions provide support for Red Hat OpenShift Container Storage and Red Hat® OpenShift® Container Platform (Version 4.3). It is expected to enable customers to deploy their applications on scalable and secure resources. In addition, Cloud Pak for Data Virtualization features various new services, improved auditing capabilities, and several updates to legacy services.
Denodo has developed a data virtualization cloud that provides multi-location architecture deployment of its Denodo Platform on public clouds such as Microsoft Azure. Amazon Web Services (AWS) Cloud and Google Cloud Platform (GCP) are some of the other hybrid cloud and private cloud ecosystems. It integrates without compromising security, performance, and governance. The solution has been specially developed to offer location transparency, reducing the cost-intensive movement of data across multi-cloud or hybrid cloud ecosystems.
Informatica has designed its data virtualization solution - PowerCenter - that focuses on enterprises that need innovative data conversion capabilities. The solution allows customers to test and audit converted data without the need to jot down code. In addition, PowerCenter supports various add-on packages such as B2B Data Exchange, Data Integration Hub, and PowerExchange for Cloud Applications.
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Key Companies Profiled in the Market Report
IBM Corporation
Denodo Technologies
Informatica Inc.
Oracle Corporation, SAP
Tibco Software
Microsoft Corporation
Datometry
VMware, Inc.
Data Virtualization Cloud Market Report: Scope
Forecast Period for 2023 to 2033
Historical Data Available for -2017 to 2022
Market Analysis - US$ Million for value
Key Regions Covered -North America, Latin America, Europe, South Asia and Pacific, East Asia, and Middle East & Africa (MEA)
Key Countries Covered -United States, Canada, Brazil, Mexico, Germany, United Kingdom, France, Italy, Spain, BENELUX, China, Japan, South Korea, India, ASEAN, Australia, New Zealand, GCC Countries, Turkey, Northern Africa, Israel, South Africa
Key Segments Covered -Component, Data Consumer, Deployment Model, End-use Industry, and Region
Key Segments Covered by the Data Virtualization Cloud Industry Analysis Report
Market Segments by Component:
Standalone Software
Data Integration Tools
Application Tool Solution
Other Components
Industry Segments by Data Consumer:
Business Intelligence Tools
Enterprise Applications
Mobile and Web Applications
Other Consumers
Market Segments by Deployment Model:
Public Cloud
Hybrid Cloud
Private Cloud
Multi-Cloud
Market Segments by End-use Industry:
Banking, Financial Services, and Insurance (BFSI)
IT and Telecom Industry
Retail and e-Commerce Industry
Government and Defense Industry
Healthcare Industry
Manufacturing Industry
Other Industries
Market Segments by Regional Outlook:
North America (United States, Canada)
Latin America (Brazil, Mexico)
Europe (Germany, United Kingdom, Russia, France, Italy)
South Asia & Pacific (India, ASEAN, and Oceania)
East Asia (China, Japan, and South Korea)
Middle East & Africa (MEA) (Turkey, GCC Countries, and South Africa)
Frequently Asked Questions
How Big is the Data Virtualization Cloud Market?
The market is valued at US$ 1,139 million in 2023.
Who are the Key Data Virtualization Cloud Market Players?
IBM Corporation, Denodo, and Informatica are key data virtualization cloud market players.
Which is the Key Segment by Application Type?
BFSI sector is likely to remain prominent through 2033.
How was the Historical Performance of the Market?
The market registered a CAGR of 22.8% from 2018 to 2022.
Which are the Key Asian Countries in the Data Virtualization Cloud Market?
India, Japan, and China dominate the Asian market.
Table of Content
1. Executive Summary | Data Virtualization Cloud Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Solution
5.3.1.1. Standalone Software
5.3.1.2. Data Integration Solution
5.3.1.3. Application Tool Solution
5.3.2. Services
5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Data Consumer
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Data Consumer, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Data Consumer, 2023 to 2033
6.3.1. Business Intelligence Tools
6.3.2. Enterprise Applications
6.3.3. Mobile and Web Applications
6.4. Y-o-Y Growth Trend Analysis By Data Consumer, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Data Consumer, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Model
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Deployment Model, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Model, 2023 to 2033
7.3.1. Public Cloud
7.3.2. Hybrid Cloud
7.3.3. Private Cloud
7.3.4. Multi-Cloud
7.4. Y-o-Y Growth Trend Analysis By Deployment Model, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Deployment Model, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-use Industry
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By End-use Industry, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-use Industry, 2023 to 2033
8.3.1. BFSI
8.3.2. IT and Telecom
8.3.3. Retail and e-Commerce
8.3.4. Government and Defence
8.3.5. Healthcare
8.3.6. Manufacturing
8.3.7. Others
8.4. Y-o-Y Growth Trend Analysis By End-use Industry, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By End-use Industry, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Europe
9.3.4. South Asia
9.3.5. East Asia
9.3.6. Oceania
9.3.7. MEA
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. The USA
10.2.1.2. Canada
10.2.2. By Component
10.2.3. By Data Consumer
10.2.4. By Deployment Model
10.2.5. By End-use Industry
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By Data Consumer
10.3.4. By Deployment Model
10.3.5. By End-use Industry
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Component
11.2.3. By Data Consumer
11.2.4. By Deployment Model
11.2.5. By End-use Industry
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Data Consumer
11.3.4. By Deployment Model
11.3.5. By End-use Industry
11.4. Key Takeaways
12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. United Kingdom
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Europe
12.2.2. By Component
12.2.3. By Data Consumer
12.2.4. By Deployment Model
12.2.5. By End-use Industry
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Data Consumer
12.3.4. By Deployment Model
12.3.5. By End-use Industry
12.4. Key Takeaways
13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Malaysia
13.2.1.3. Singapore
13.2.1.4. Thailand
13.2.1.5. Rest of South Asia
13.2.2. By Component
13.2.3. By Data Consumer
13.2.4. By Deployment Model
13.2.5. By End-use Industry
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Data Consumer
13.3.4. By Deployment Model
13.3.5. By End-use Industry
13.4. Key Takeaways
14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Component
14.2.3. By Data Consumer
14.2.4. By Deployment Model
14.2.5. By End-use Industry
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By Data Consumer
14.3.4. By Deployment Model
14.3.5. By End-use Industry
14.4. Key Takeaways
15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. Australia
15.2.1.2. New Zealand
15.2.2. By Component
15.2.3. By Data Consumer
15.2.4. By Deployment Model
15.2.5. By End-use Industry
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Component
15.3.3. By Data Consumer
15.3.4. By Deployment Model
15.3.5. By End-use Industry
15.4. Key Takeaways
16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Component
16.2.3. By Data Consumer
16.2.4. By Deployment Model
16.2.5. By End-use Industry
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Component
16.3.3. By Data Consumer
16.3.4. By Deployment Model
16.3.5. By End-use Industry
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Component
17.1.2.2. By Data Consumer
17.1.2.3. By Deployment Model
17.1.2.4. By End-use Industry
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Component
17.2.2.2. By Data Consumer
17.2.2.3. By Deployment Model
17.2.2.4. By End-use Industry
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Component
17.3.2.2. By Data Consumer
17.3.2.3. By Deployment Model
17.3.2.4. By End-use Industry
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Component
17.4.2.2. By Data Consumer
17.4.2.3. By Deployment Model
17.4.2.4. By End-use Industry
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Component
17.5.2.2. By Data Consumer
17.5.2.3. By Deployment Model
17.5.2.4. By End-use Industry
17.6. United Kingdom
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Component
17.6.2.2. By Data Consumer
17.6.2.3. By Deployment Model
17.6.2.4. By End-use Industry
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Component
17.7.2.2. By Data Consumer
17.7.2.3. By Deployment Model
17.7.2.4. By End-use Industry
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Component
17.8.2.2. By Data Consumer
17.8.2.3. By Deployment Model
17.8.2.4. By End-use Industry
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Component
17.9.2.2. By Data Consumer
17.9.2.3. By Deployment Model
17.9.2.4. By End-use Industry
17.10. India
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Component
17.10.2.2. By Data Consumer
17.10.2.3. By Deployment Model
17.10.2.4. By End-use Industry
17.11. Malaysia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Component
17.11.2.2. By Data Consumer
17.11.2.3. By Deployment Model
17.11.2.4. By End-use Industry
17.12. Singapore
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Component
17.12.2.2. By Data Consumer
17.12.2.3. By Deployment Model
17.12.2.4. By End-use Industry
17.13. Thailand
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Component
17.13.2.2. By Data Consumer
17.13.2.3. By Deployment Model
17.13.2.4. By End-use Industry
17.14. China
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Component
17.14.2.2. By Data Consumer
17.14.2.3. By Deployment Model
17.14.2.4. By End-use Industry
17.15. Japan
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Component
17.15.2.2. By Data Consumer
17.15.2.3. By Deployment Model
17.15.2.4. By End-use Industry
17.16. South Korea
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Component
17.16.2.2. By Data Consumer
17.16.2.3. By Deployment Model
17.16.2.4. By End-use Industry
17.17. Australia
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Component
17.17.2.2. By Data Consumer
17.17.2.3. By Deployment Model
17.17.2.4. By End-use Industry
17.18. New Zealand
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Component
17.18.2.2. By Data Consumer
17.18.2.3. By Deployment Model
17.18.2.4. By End-use Industry
17.19. GCC Countries
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Component
17.19.2.2. By Data Consumer
17.19.2.3. By Deployment Model
17.19.2.4. By End-use Industry
17.20. South Africa
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Component
17.20.2.2. By Data Consumer
17.20.2.3. By Deployment Model
17.20.2.4. By End-use Industry
17.21. Israel
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Component
17.21.2.2. By Data Consumer
17.21.2.3. By Deployment Model
17.21.2.4. By End-use Industry
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Component
18.3.3. By Data Consumer
18.3.4. By Deployment Model
18.3.5. By End-use Industry
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. Oracle Corporation
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. SAP
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. Tibco Software
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. Microsoft Corporation
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Cisco Systems, Inc.
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Adaptive Insights
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. Microsoft Corporation
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. Denodo Technologies Inc.
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. OpenLink Software Inc.
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. QlikTech International AB
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
20. Assumptions & Acronyms Used21. Research Methodology
